Cluster Analysis is a type of unsupervised machine learning technique used to identify patterns and group similar data points together. It is a key component of Big Data analytics, as it helps to uncover hidden relationships and trends in large datasets. Cluster Analysis is used to identify customer segments, detect anomalies, and identify outliers. It can also be used to identify correlations between different variables, such as customer demographics and purchase behavior. Cluster Analysis is used in a variety of industries, including finance, healthcare, retail, and marketing. It is used to gain insights into customer behavior, identify customer segments, and optimize marketing campaigns. Some companies in the Cluster Analysis market include IBM, Microsoft, Oracle, SAP, SAS, and Tableau. Show Less Read more
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